172 citations · 319 across the 10 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
cs.NE2020★ 3 cited
Continuous Learning in a Single-Incremental-Task Scenario with Spike Features
Ruthvik Vaila, John Chiasson, Vishal Saxena
Deep Neural Networks (DNNs) have two key deficiencies, their dependence on high precision computing and their inability to perform sequential learning, that is, when a DNN is train…
cs.NE2020★ 4 cited
A Deep Unsupervised Feature Learning Spiking Neural Network with Binarized Classification Layers for EMNIST Classification using SpykeFlow
Ruthvik Vaila, John Chiasson, Vishal Saxena
End user AI is trained on large server farms with data collected from the users. With ever increasing demand for IOT devices, there is a need for deep learning approaches that can…